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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (25) Chapters Close

Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1. Preliminaries, Tools, and Techniques FREE CHAPTER 2. The __init__() Method 3. Integrating Seamlessly - Basic Special Methods 4. Attribute Access, Properties, and Descriptors 5. The ABCs of Consistent Design 6. Using Callables and Contexts 7. Creating Containers and Collections 8. Creating Numbers 9. Decorators and Mixins - Cross-Cutting Aspects 10. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 11. Storing and Retrieving Objects via Shelve 12. Storing and Retrieving Objects via SQLite 13. Transmitting and Sharing Objects 14. Configuration Files and Persistence 15. Design Principles and Patterns 16. The Logging and Warning Modules 17. Designing for Testability 18. Coping with the Command Line 19. Module and Package Design 20. Quality and Documentation

Installing components

Most of the tools required must be added to the Python 3.7 environment. There are two approaches in common use:

  • Use pip to install everything.
  • Use conda to create an environment. Most of the tools described in this book are part of the Anaconda distribution.

The pip installation uses a single command:

python3 -m pip install pyyaml sqlalchemy jinja2 pytest sphinx mypy pylint black

This will install all of the required packages and tools in your current Python environment.

The conda installation creates a conda environment to keep the book's material separate from any other projects:

  1. Install conda. If you have already installed Anaconda, you have the Conda tool, nothing more needs to be done. If you don't have Anaconda yet, then install miniconda, which is the ideal way to get started. Visit https://conda.io/miniconda.html and download the appropriate version of conda for your platform.
  2. Use conda to build and activate the new environment.
  1. Then upgrade pip. This is needed because the default pip installation in the Python 3.7 environment is often slightly out of date.
  2. Finally, install black. This is required because black is not currently in any of the conda distribution channels.

Here are the commands:

$ conda create --name mastering python=3.7 pyyaml sqlalchemy jinja2 
pytest sphinx mypy pylint
$ conda activate mastering
$ python3 -m pip install --upgrade pip
$ python3 -m pip install black

The suite of tools (pytest, sphinx, mypy, pylint, and black) are essential for creating high-quality, reliable Python programs. The other components, pyyaml, sqlalchemy, and jinja2, are helpful for building useful applications.

You have been reading a chapter from
Mastering Object-Oriented Python - Second Edition
Published in: Jun 2019
Publisher: Packt
ISBN-13: 9781789531367
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